Screening, predicting, and computer experiments
Technometrics
Design of Computer Experiments for Metamodel Generation
Analog Integrated Circuits and Signal Processing
Using approximations to accelerate engineering design optimization
Using approximations to accelerate engineering design optimization
A Rigorous Framework for Optimization of Expensive Functions by Surrogates
A Rigorous Framework for Optimization of Expensive Functions by Surrogates
Design of Computer Experiments for Metamodel Generation
Analog Integrated Circuits and Signal Processing
| Hi-index | 0.00 |
We review the use of statistical design and analysis of computer experiments (DACE) for the generation of parsimonious, surrogate models, also known as metamodels. Such metamodels are used to replace cpu- or memory-intensive, discretized approximations that often arise in MEMS and MOEMS. Emphasis is placed on optimal designs.